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Top 10 SAS Event Stream Processing for Edge Computing Alternatives & Competitors

(2)4.0 out of 5

Research alternative solutions to SAS Event Stream Processing for Edge Computing on G2, with real user reviews on competing tools. Other important factors to consider when researching alternatives to SAS Event Stream Processing for Edge Computing include reliability and ease of use. The best overall SAS Event Stream Processing for Edge Computing alternative is Aiven for Apache Kafka. Other similar apps like SAS Event Stream Processing for Edge Computing are Tray.ai, Apache Kafka, Confluent, and IBM StreamSets. SAS Event Stream Processing for Edge Computing alternatives can be found in Event Stream Processing Software but may also be in iPaaS Software or ETL Tools.

Best Paid & Free Alternatives to SAS Event Stream Processing for Edge Computing

  • Aiven for Apache Kafka
  • Tray.ai
  • Apache Kafka
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Top 10 Alternatives to SAS Event Stream Processing for Edge Computing Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how SAS Event Stream Processing for Edge Computing stacks up to the competition, check reviews from current & previous users in industries like Architecture & Planning and Banking, and find the best product for your business.

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    #1

  1. Aiven for Apache Kafka

    By Aiven
    (201)4.3 out of 5

    2. Aiven for Apache Kafka is a fully managed streaming platform, deployable in the cloud of your choice. Snap it into your existing workflows with the click of a button, automate away the mundane tasks, and focus on building your core apps.

    Categories in common with SAS Event Stream Processing for Edge Computing:
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    #2

  2. Tray.ai

    By Tray.io
    (156)4.5 out of 5

    3. The Tray Platform empowers anyone to do more, faster by harnessing automation with the leading, low-code general automation platform.

    Categories in common with SAS Event Stream Processing for Edge Computing:
    See all Tray.ai reviews
    #3

  3. Apache Kafka

    By The Apache Software Foundation
    (122)4.5 out of 5

    4. Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java.

    Categories in common with SAS Event Stream Processing for Edge Computing:
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    #4

  4. Confluent

    By Confluent
    (111)4.4 out of 5

    5. A stream data platform.

    Categories in common with SAS Event Stream Processing for Edge Computing:
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    #5

  5. IBM StreamSets

    By IBM
    (105)4.0 out of 5

    6. StreamSets DataOps Platform is an end-to-end data engineering platform to design, deploy, operate and optimize data pipelines to deliver continuous data. StreamSets offers a single pane of glass for batch, streaming, CDC, ETL and ML pipelines with built-in data drift protection for full transparency and control across hybrid, on-premise and multi-cloud environments.

    Categories in common with SAS Event Stream Processing for Edge Computing:
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    #6

  6. Amazon Kinesis Data Streams

    By Amazon Web Services (AWS)
    (88)4.3 out of 5

    7. Amazon Kinesis Data Streams is a serverless streaming data service that makes it easy to capture, process, and store data streams at any scale.

    Categories in common with SAS Event Stream Processing for Edge Computing:
    See all Amazon Kinesis Data Streams reviews
    #7

  7. Ably Realtime

    By Ably Realtime
    (67)4.8 out of 5

    8. Ably is a realtime data delivery platform providing developers everything they need to create, deliver and manage complex projects. Ably solves the hardest parts so they don’t have to.

    Categories in common with SAS Event Stream Processing for Edge Computing:
    See all Ably Realtime reviews
    #8

  8. Google Cloud Dataflow

    By Google
    (59)4.3 out of 5

    9. Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness.

    Categories in common with SAS Event Stream Processing for Edge Computing:
    See all Google Cloud Dataflow reviews
    #9

  9. Nexla

    By Nexla
    (57)4.6 out of 5

    10. Nexla monitors, adapts, and securely moves data between companies so you can focus on the real work

    Categories in common with SAS Event Stream Processing for Edge Computing:
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    #10

  10. IBM Cloud Pak for Integration

    By IBM
    (50)4.2 out of 5

    11. Set up the appropriate organizational models and governance practices to support agile integration, simplify the management of your integration architecture and reduce cost with the IBM Cloud Pak™ for Integration. Running on Red Hat® OpenShift®, the IBM Cloud Pak for Integration gives businesses complete choice and agility to deploy workloads on premises and on private and public clouds.

    Categories in common with SAS Event Stream Processing for Edge Computing:
    See all IBM Cloud Pak for Integration reviews

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